Get started with RDM

Research data are “used as primary sources for scientific research, and […] are commonly accepted in the scientific community as necessary to validate research findings” (OECD Principles and guidelines for access to research data from public funding).


Data life cycle

Research data lifecycle inspired by the UK Data Archive website:
http://www.data-archive.ac.uk/create-manage/life-cycle


What is research data management?

According to the discipline, data can be for example experimental, observational, computer simulations, textual records, and also physical artefacts. Research data management (RDM) refers to all the decisions and activities related to how researchers handle data throughout its whole life-cycle, from the planning stage of the project to the long term preservation strategies.

Good data management is an essential part of the research process, and contributes to guarantee integrity, transparency and reproducibility of research, as well as to meet institutional expectations and funders’ requirements.